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* Using the SET statement; data work.step1; set work.step1 work.step2; run; * Using the APPEND statement; proc datasets; append base = work.step1 data = work.step2; run;
There are a couple of methods you can use to concatenate data sets. In these examples, work.step2 is appended to work.step1.
When you use a SET statement in a data step, SAS processes all the observations in work.step1 and work.step2.
With the datasets procedure, the APPEND statement bypasses the processing of the data in the original data set (work.step1) and adds the observations in work.step2 directly to the end of the original. As a result, using the APPEND statement can be more efficient than using a SET statement.
Submitted by Linda Adams. Contact me at my Discussion Page.
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|SUGI 76 - SUGI 21 Conference Proceedings Now Online|
1st Users Conference
Since 1976, SAS users have gathered to share the unique ways they use SAS. At the end of each annual conference, the SAS Users Group International (SUGI) and later as SAS Global Forum collected all the individual papers (and posters) presented that year and published them in a volume of proceedings. These historical proceedings contain a vast number of papers which contain methods and techniques that are not available anywhere else to the SAS User Community.
Proceedings before SUGI 21 have not been accessible online - they were available only in bound paper volumes. To address this, the SAS Global Users Group Executive Board began a project in May 2010 to digitally capture SUGI 76 through SUGI 21 proceedings and make them available to the global SAS Community on sasCommunity.org.
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